SDS 539: Interpretable Machine Learning — with Serg Masís

<p>In this episode, Serg Masís joins the podcast to share his in-depth technical knowledge of Interpretable Machine Learning. Together they discuss why this field matters, how it’s evolving, and so much more.</p><p>In this episode you will learn:<br/>• What is interpretable machine learning? [8:41]<br/>• The social and financial ramifications of interpreting models incorrectly [10:23]<br/>• The challenges involved in interpretable ML [16:00]<br/>• The most important interpretable ML concepts to master [19:54]<br/>• The future of Interpretable ML [32:41]<br/>• What it’s like to be a Climate &amp; Agronomic Data Scientist [42:28]<br/>• Serg’s day-to-day tools [49:05]<br/>• Serg&apos;s productivity tips [50:25]<br/>• Why Serg pursued a Master&apos;s in Data Science [52:25]</p><p>Additional materials: <a href='https://gate.sc/?url=http%3A%2F%2Fwww.superdatascience.com%2F539&amp;token=3bf49d-1-1641896663540'>www.superdatascience.com/539</a></p>